Cargando…
Analysis of Hierarchical Routine Data With Covariate Missingness: Effects of Audit & Feedback on Clinicians' Prescribed Pediatric Pneumonia Care in Kenyan Hospitals
Background: Routine clinical data are widely used in many countries to monitor quality of care. A limitation of routine data is missing information which occurs due to lack of documentation of care processes by health care providers, poor record keeping, or limited health care technology at facility...
Autores principales: | Gachau, Susan, Owuor, Nelson, Njagi, Edmund Njeru, Ayieko, Philip, English, Mike |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646705/ https://www.ncbi.nlm.nih.gov/pubmed/31380338 http://dx.doi.org/10.3389/fpubh.2019.00198 |
Ejemplares similares
-
Pairwise joint modeling of clustered and high-dimensional outcomes with covariate missingness in pediatric pneumonia care
por: Gachau, Susan, et al.
Publicado: (2022) -
Prevalence, outcome and quality of care among children hospitalized with severe acute malnutrition in Kenyan hospitals: A multi-site observational study
por: Gachau, Susan, et al.
Publicado: (2018) -
Missing continuous outcomes under covariate dependent missingness in cluster randomised trials
por: Hossain, Anower, et al.
Publicado: (2016) -
Missing binary outcomes under covariate‐dependent missingness in cluster randomised trials
por: Hossain, Anower, et al.
Publicado: (2017) -
Comparison of methods for handling covariate missingness in propensity score estimation with a binary exposure
por: Coffman, Donna L., et al.
Publicado: (2020)